In statistical estimation theory, the coverage probability, or coverage for short, is the probability that a confidence interval or confidence region...

Generally, the coverage probability is set to a 95 % {\displaystyle 95\%} confidence. For Neyman construction, the coverage probability is set to some...

. The specified probability is known as the coverage probability. For a given coverage probability, there is more than one coverage interval. The probabilistically...

In probability theory and statistics, the Poisson distribution (/ˈpwɑːsɒn/) is a discrete probability distribution that expresses the probability of a...

can vote). If each interval individually has coverage probability 0.95, the simultaneous coverage probability is generally less than 0.95. A 95% simultaneous...

binomial proportion confidence interval is a confidence interval for the probability of success calculated from the outcome of a series of success–failure...

1940s Coverage data, the mapping of one aspect of data in space, in geographic information systems Coverage probability, in statistics Coverage (genetics)...

word "probability" has been used in a variety of ways since it was first applied to the mathematical study of games of chance. Does probability measure...

controlling procedures (such as the Bonferroni correction), which control the probability of at least one Type I error. Thus, FDR-controlling procedures have greater...

{\displaystyle P(u(X)<\theta <v(X))\geq \ \gamma } When it is known that the coverage probability can be strictly larger than γ {\displaystyle \gamma } for some parameter...

calculating the probability of seeing that data under different parameter values of the model. It is constructed from the joint probability distribution...

method always contain the zero value of the parameter and hence the coverage probability at this point is always 100%. The definition of CLs does not follow...

to confidence intervals. A single confidence interval with a 95% coverage probability level will contain the true value of the parameter in 95% of samples...

a confidence interval whose actual coverage probability is greater than a desired nominal coverage probability Conservatism (diving), a risk averse...

terms of relative likelihood, not in terms of coverage probability (frequentism) or posterior probability (Bayesianism). Given a model, likelihood intervals...

Covariance matrix Covariance function Covariate Cover's theorem Coverage probability Cox process Cox's theorem Cox–Ingersoll–Ross model Cramér–Rao bound...

probability that the SINR of a channel is less than or equal to some network-dependent threshold. The coverage probability pc is then the probability...

results, and also discusses both the coverage probabilities of credible intervals and the posterior probabilities associated with confidence intervals...

Probability of precipitation (PoP) is a commonly used term referring to the likelihood of precipitation falling in a particular area over a defined period...

reduced average coverage. Selection can be presented as conditioning on an event defined by the data and may affect the coverage probability of a CI for a...

inference. A confidence interval, in frequentist inference, with coverage probability γ has the interpretation that among all confidence intervals computed...

follows: "What is the probability that the sun will rise tomorrow?" The sunrise problem illustrates the difficulty of using probability theory when evaluating...

refinements are to distinguish between methods based on how fast the true coverage probability approaches the nominal value, where a method is (using DiCiccio and...

selection (these are sometimes referred to as 'out of coverage'/'undercovered'), or where the probability of selection cannot be accurately determined. It...

2010-12-21. Ghosh, J.; Dhar Roy, S. (2015). "Qualitative analysis for coverage probability and energy efficiency in cognitive-femtocell networks under macrocell...

capture probabilities (near to 0 or 1), in which cases other confidence intervals fail to achieve the nominal coverage levels. The capture probability refers...

In probability theory and statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued...

commonly used confidence intervals generally do not retain their coverage probability above the specified nominal level and thus substantially underestimate...

and the resulting confidence interval will likely have the wrong coverage probability. Thus, when there is evidence of substantial skew in the data, it...

Baruch Barzel (Hebrew: ברוך ברזל; March 19, 1976) is an Israeli physicist and applied mathematician at Bar-Ilan University, a member of the Gonda Multidisciplinary...